`log_scale` parameter for `displot()` is a bit misleading.

The relevant documentation for the log_scale parameter is: "Set axis scale(s) to log. A single value sets the data axis for any numeric axes in the plot. A pair of values sets each axis independently.".

From that description, it seems reasonable to expect log_scale = (False, True) to apply a log-scaling only to the y-axis for a univariate histogram. In practice, you get a blank plot. I imagine this setting should really only be used for two dimensional histograms, that is, the computed count variable is the third dimension.

Below is a simple example illustrating where I got confused. I'd have expected the first plotting call to produce a plot with log-scaled counts on the y-axis, instead, nothing appears. I think it makes sense to tweak the documentation & perhaps also provide a warning to a user who doesn't specify an argument for the y parameter, but still attempts to provide a tuple to log_scale.

import seaborn as sns
import numpy as np
# Apply the default seaborn plotting theme.
sns.set_theme()

data = np.repeat(['a','b','c'], [200, 100, 10])

sns.displot(data, height=3, log_scale=(False, True))
sns.displot(data, height=3, log_scale=(False, False))

PS: I'm happy to also take a stab at fixing the issue, just thought it'd be a good idea to writeup the issue first.

PPS: I'm a huge fan of this library. Thank you for the excellent work!